This slide summarizes public opinion on multiple AI-related developments, including job loss, AI in healthcare, data leaks, robot behavior, and social media use. Each is represented by a separate bar with likely/unlikely stats.

The slide captures a largely skeptical view of AI improving the job market, especially in developed countries. Gen Z is more optimistic, but most countries rank low on job market positivity from AI.

This slide explores perceptions of how AI will impact jobs over the next five years, showing that workers believe AI will more likely change than replace their roles. A quote highlights AI’s role in enhancing creativity. Survey data compares global and U.S. perspectives.

Discusses the influence of AI on job security and skills enhancement, highlighting differing perceptions among employees and leaders.

This slide emphasizes the importance of management leadership in AI, providing actionable steps for CEOs to enhance AI adoption in their organizations.

Highlights AI's potential for success and disruptive capability, alongside the challenges faced by organizations in adopting and scaling AI solutions.

Highlights the leading industries in AI adoption within France, with a focus on the Technology, Media, Telecom, and Consumer sectors.

Highlights the current and expected future usage of AI and machine learning in marketing, noting a 166% growth projection.

This slide discusses the adoption of AI in risk management, highlighting key applications like fraud detection, data analysis, and operational task automation.

The slide discusses AI maturity across industries, predicting a narrowing gap by 2024, with tech industries leading. It mentions the challenges faced by financial services and healthcare in adopting AI due to various factors.

This slide presents the percentage of people in various countries who believe AI will worsen misinformation and disinformation. It shows a global average of 51% agreement, with Canada and New Zealand among the highest. The visual illustrates broad concern about AI's societal impact.

The slide shows that AI is the top technology required for new businesses across industries, especially in energy, tech, and logistics. It presents percentage data for 10 technologies via a bubble chart segmented by industry.

This slide presents survey results on AI and news credibility, showing significant concern over manipulation and trust in AI-generated news. The quote calls for long-term thinking and placing guardrails around AI technologies.

Outlines the use of AI in daily operations across various industries, focusing on customer experience and operations, and highlights the sectors and processes where AI has the most significant impact.

The slide highlights the lag in AI patent filings by European companies compared to North American and APAC counterparts.

The slide highlights the superior performance of AI Achievers in traditional performance metrics, emphasizing their ability to multitask and outperform competitors in nearly all key capabilities.

The slide showcases the use of AI in optimizing channels, product offers, and acquisition strategies for both small and large businesses, resulting in a doubling of billed business acquired.

This slide compares the willingness of companies in different countries to pilot AI initiatives early without detailed impact analysis, highlighting differences between active players and observers.

This slide explains the transition of AI pilots into production, using Procter & Gamble as an example. It highlights the increased likelihood of AI Achievers to scale AI pilots compared to Experimenters.

Projects that data center energy demand in SEA could reach 10% of total power use by 2040, driven by AI. Emphasizes mismatch between renewable sources and data center locations, and the need for uninterrupted power. Highlights current reliance on fossil fuels and challenges of clean energy integration.

Analyzes expectations from AI technology in boosting productivity through enhancements in manufacturing, workforce development, and customer experience.

The slide compares how countries and demographic segments believe AI will improve time efficiency. Indonesia leads globally, and younger generations are more optimistic than older ones.

Predicts the timeline for noticeable productivity improvements due to AI implementation across the surveyed companies.

The slide highlights the desire for more government regulation and global collaboration on AI technologies. It presents data showing a significant majority of business leaders advocating for these measures to manage the unique risks of generative AI, raising concerns about leaving regulation solely to individual organizations.

This slide discusses how AI is reshaping the retail sector through personalized customer interactions, smarter logistics, and data-driven insights. It includes insights from retailers and CEOs, plus a projected growth chart showing the global AI retail market increasing from $11.61B in 2024 to $40.2B by 2030.

This slide addresses the implementation of AI and advanced analytics in risk management, highlighting the current adoption rates and potential risks associated with these technologies. It discusses the importance of integrating AI to enhance business innovation and operational excellence.

This slide outlines various aspects of risk management throughout the AI development lifecycle, from strategy adoption to operation and monitoring. It is likely used in presentations addressing the integration of risk management into AI development processes, discussing detailed points like data privacy, cloud use, validation metrics, and deployment pipelines among others. This makes it suitable for audiences involved in AI development and risk management within the technology sector.

Analyzes the critical AI applications for managing risks and improving AI ethics in businesses.

Examines how organizations manage AI risks, emphasizing training and collaboration on AI ethics as key strategies. Highlights differences in approaches between high- and low-outcome organizations.

Highlights the top technologies driving innovation: AI (84%), robotics (42%), and decarbonization (28%), suggesting where future investments and strategic focus may lie.